AgentIndex icon
AgentIndex
AgentRecall-MCP logo
AgentRecall-MCP
★ 371
vs
neurostack logo
neurostack
★ 47

AgentRecall-MCP vs neurostack

AgentRecall-MCP: AgentRecall is a learning loop for AI agents that provides persistent, compounding memory. It captures corrections automatically, surfaces past insights across projects, and uses a five-layer memory pyramid with Ebbinghaus decay and Bayesian feedback. Zero cloud, all local markdown files.; neurostack: NeuroStack is a self-hosted MCP server and CLI that indexes Markdown vaults by meaning, providing AI agents with persistent memory across sessions. It detects stale notes, supports semantic and keyword search, and uses tiered retrieval to minimize token usage. Fully local, it never modifies your files.

01

TL;DR

AgentRecall-MCP logo
AgentRecall-MCPMemory & Context · ★ 371

Maintain context across AI agent sessions (Claude Code, Cursor, etc.)

Read AgentRecall-MCP full review →
neurostack logo
neurostackMemory & Context · ★ 47

Give Claude Code or other AI assistants persistent memory across sessions

Read neurostack full review →
02

Side-by-Side Comparison

Field
AgentRecall-MCP logoAgentRecall-MCP
neurostack logoneurostack
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 47
License
MIT
Apache-2.0
Install Command
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
npm install -g neurostack && neurostack install && neurostack init
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agents, claude-code
ai-memory, knowledge-graph, local-ai
03

Features

AgentRecall-MCP logoAgentRecall-MCP
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and alignment checking
03Cross-project insight recall via keyword and semantic (pgvector) search
04Zero cloud, all local markdown files, Obsidian-compatible
0510 MCP tools for agents, plus SDK and CLI
neurostack logoneurostack
01Hybrid semantic + keyword search across your Markdown vault
02Stale note detection to prevent AI from citing outdated information
03Agent write-back memory that persists across sessions
04Token-efficient tiered retrieval (triples → summaries → full content)
05Fully local, never modifies vault files
04

Use Cases

AgentRecall-MCP logoAgentRecall-MCP
↳Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
↳Capture and learn from user corrections in software development
↳Coordinate memory across multiple parallel agents
neurostack logoneurostack
↳Give Claude Code or other AI assistants persistent memory across sessions
↳Search your personal knowledge base by meaning, not just keywords
↳Extract decisions, bugs, and learnings from session transcripts automatically
FAQ

FAQ

What is the difference between AgentRecall-MCP and neurostack?
Both AgentRecall-MCP and neurostack are in the Memory & Context category. AgentRecall-MCP has 371 stars, while neurostack has 47 stars.
Which is better, AgentRecall-MCP or neurostack?
The best choice depends on your use case. Choose AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.), and neurostack if Give Claude Code or other AI assistants persistent memory across sessions.
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
Is neurostack free or open source?
Yes, neurostack is open source on GitHub (Apache-2.0).
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